Design and Development of Efficient Multipath TCP for Data Center in Public Cloud
Shashikala S V1, Ravikumar G K2
1Shashikala S V, Dept., of CSE, BGSIT, Adichunchanagiri University, BG Nagar, Mandya, India.
2Dr. Ravikumar G.K, Dept., of CSE, BGSIT, Adichunchanagiri University, BG Nagar, Mandya, India.

Manuscript received on November 20, 2019. | Revised Manuscript received on November 26, 2019. | Manuscript published on 30 November, 2019. | PP: 3575-3579 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7803118419/2019©BEIESP | DOI: 10.35940/ijrte.D7803.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In recent days, variety of application development making use of cloud data centers effectively for analyzing data, processing related applications such as interactive and batch processing. Some of the factors influence on network performance by maintaining low delay, high-speed data transfer and more reliability. Maintaining and satisfying these factors becomes a challenging issue due to dynamic variations on network. TCP (Transmission control Protocol) proposed recently a new concept of multi-path TCP (MPTCP) for maximum utilization of paths over network flow. In spite of its added advantages, some sort of work on MPTCP to be carried out on cloud environment and further, efficient way of using MPTCP on real-world cloud application still looks like unclear problem. Our proposed work concerned on MPTCP usage in most effective and feasible way for cloud and data center environments over various conditions on network. The experiment is conducted by clustering the public cloud data using k-means algorithm and communicated over a network using MPTCP. The results shows that the proposed method yields high-speed data transfer and low communication delay when compare to traditional TCP technique.
Keywords: Data Centres, MPTCP, TCP.
Scope of the Article: Mobile App Design and Development.